Seedbank Modeling

Seedbank Modeling is a computational or mathematical framework that represents the dynamics of viable weed seeds within soil over time, distinguished by its focus on predicting temporal and spatial changes in seed population density under varying environmental and management conditions.

48

Publications

1.9K

Citations

144

Authors

67

Institutions

Publications per year

2017–2026

2

Variants

Seed Bank Modeling

Authors

144

  1. FF
    Frank Forcella

    North Central Soil Conservation Research Laboratory, United States

    4 publications · 303 citations

    4

    h-index

  2. NJ
    Nicholas Jordan

    University of Michigan, United States

    3 publications · 157 citations

    3

    h-index

  3. NC
    Nathalie Colbach

    Institut Agro Dijon, France

    3 publications · 111 citations

    3

    h-index

  4. AR
    Andrew R. Watkinson

    University of East Anglia, United Kingdom

    3 publications · 180 citations

    3

    h-index

  5. DA
    David A. Mortensen

    Pennsylvania State University, United States

    3 publications · 212 citations

    3

    h-index

1–5 of 144

Venues

  1. Weed Research

    11 publications · 479 citations

    11

    h-index

  2. Weed Science

    6 publications · 212 citations

    6

    h-index

  3. Weed Technology

    3 publications · 137 citations

    3

    h-index

  4. Ecological Modelling

    3 publications · 72 citations

    3

    h-index

  5. European Journal of Agronomy

    2 publications · 95 citations

    2

    h-index

1–5